Outages & Mitigation

Manually processing and parsing through information that arrives in disparate entry points and from multiple sources results in unnecessary clerical errors,delayed decisions, and unhappy customers.

The Hyperscience Platform can automatically classify and extract critical information across various forms and document types. It is then able to validate submitted information against master data, confirm line items sum to total charges and then package and send a claim for approval or further review.

All while automatically assigning supervision tasks and/or sending incomplete packets with missing information to your exception-handling system or specific teams for review.

To handle the increase in volume during enrollment periods, firms typically hire and train seasonal or temporary workers to manually process open enrollment documents.

This is an untenable solution in the long-term, costing companies additional time and money spent on paperwork, training and onboarding. Additionally, manual data entry increases the risk of clerical errors, leading to rework and delayed decisions.

Nakama tech automatically classifies diverse documents including life insurance applications, medical exam questionnaires, accompanying regulatory disclosures, and supporting information, freeing up resources for enhanced decision making and customer-facing activities.

Accurate data is the critical step zero to being able to automatically process account maintenance requests, beneficiary updates, or address changes.

Trained on real-world documents, the Hyperscience Platform can accurately classify and extract sensitive data from structured, semi-structured and unstructured documents despite coffee stains, fax marks, and other degradations.

Additionally, once the data is extracted, you can validate fields against external systems to compare an extracted address to the data you have on record. Hyperscience can then package and send the data to specific teams, operating systems, or systems of record for faster decision-making.